Toll-like receptor 10: its expression and role in chemotaxis in human neutrophils (P1234)
Bibliographic record
Abstract
Abstract TLR10 is a member of TLRs that recognize pathogen-associated molecules and play critical roles in host defense. However, very little is known about the expression and function of TLR10. We found TLR10 expression in vascular endothelium of normal and inflamed lungs from chickens and humans. Western blots showed increased TLR10 protein in lungs of chicken infected with E. coli or Adenovirus. Human neutrophils challenged with E. coli lipopolysaccharide (LPS) showed decreased total TLR10 protein and surface expression in 90 minutes. Confocal microscopy detected cytosolic and nuclear TLR10 in normal neutrophils. Upon activation with LPS, TLR10 colocalized with TLR4, flotallin-1, a lipid raft marker, and EEA-1, an early endosomal marker, to suggest the cycling to endocytic compartments. TLR4 neutralization reduced cytoplasmic localization of TLR10 in neutrophils. Depletion of reactive oxygen species (ROS) with FCCP in LPS-treated neutrophils reduced p65 nuclear translocation and TLR10 expression. Single cell video imaging of live LPS-activated human neutrophils showed the translocation of TLR10 to the leading edge and siRNA-mediated silencing of TLR10 in HL-60 cell line reduced their chemotaxis towards fMLP. We conclude that TLR10 expression is modulated via TLR4 signalling and ROS production, and that TLR10 participates in neutrophil chemotaxis. Altered TLR10 expression in activated neutrophils and inflamed lungs suggests a role for this receptor in lung inflammation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".